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Añadir al carritoPaperback. Condición: new. Paperback. An expansive vision for data equality that goes beyond algorithmic fairness. When we gave algorithms power over our world, we hoped that the apparent neutrality of machine thinking would create a more egalitarian age. Yet we are more divided than ever, staring down threats to democracy itself. In Data Equals, Colin Koopman argues that data technologies fail us so often because we built them around a deficient notion of equality. It is not enough, Koopman explains, that algorithms engage everyone's data with the same measuring stick. The data themselves are all too often structured in ways that obscure and exacerbate stratifying distinctions. Koopman contends that we must also work to ensure that those people subject to computational assessment enter data systems on equal terms. Part philosophical argument, part practical guide (replete with case studies from education technology), Data Equals offers novel methods for realizing democratic equality in a digital age. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
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Añadir al carritoPaperback. Condición: New. An expansive vision for data equality that goes beyond algorithmic fairness. When we gave algorithms power over our world, we hoped that the apparent neutrality of machine thinking would create a more egalitarian age. Yet we are more divided than ever, staring down threats to democracy itself. In Data Equals, Colin Koopman argues that data technologies fail us so often because we built them around a deficient notion of equality. It is not enough, Koopman explains, that algorithms engage everyone's data with the same measuring stick. The data themselves are all too often structured in ways that obscure and exacerbate stratifying distinctions. Koopman contends that we must also work to ensure that those people subject to computational assessment enter data systems on equal terms. Part philosophical argument, part practical guide (replete with case studies from education technology), Data Equals offers novel methods for realizing democratic equality in a digital age.
Idioma: Inglés
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Añadir al carritoPaperback. Condición: New. An expansive vision for data equality that goes beyond algorithmic fairness. When we gave algorithms power over our world, we hoped that the apparent neutrality of machine thinking would create a more egalitarian age. Yet we are more divided than ever, staring down threats to democracy itself. In Data Equals, Colin Koopman argues that data technologies fail us so often because we built them around a deficient notion of equality. It is not enough, Koopman explains, that algorithms engage everyone's data with the same measuring stick. The data themselves are all too often structured in ways that obscure and exacerbate stratifying distinctions. Koopman contends that we must also work to ensure that those people subject to computational assessment enter data systems on equal terms. Part philosophical argument, part practical guide (replete with case studies from education technology), Data Equals offers novel methods for realizing democratic equality in a digital age.
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Idioma: Inglés
Publicado por University of Chicago Press, 2025
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Añadir al carritoPaperback. Condición: new. Paperback. An expansive vision for data equality that goes beyond algorithmic fairness. When we gave algorithms power over our world, we hoped that the apparent neutrality of machine thinking would create a more egalitarian age. Yet we are more divided than ever, staring down threats to democracy itself. In Data Equals, Colin Koopman argues that data technologies fail us so often because we built them around a deficient notion of equality. It is not enough, Koopman explains, that algorithms engage everyone's data with the same measuring stick. The data themselves are all too often structured in ways that obscure and exacerbate stratifying distinctions. Koopman contends that we must also work to ensure that those people subject to computational assessment enter data systems on equal terms. Part philosophical argument, part practical guide (replete with case studies from education technology), Data Equals offers novel methods for realizing democratic equality in a digital age. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Idioma: Inglés
Publicado por The University of Chicago Press, US, 2025
ISBN 10: 0226842258 ISBN 13: 9780226842257
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Añadir al carritoPaperback. Condición: New. An expansive vision for data equality that goes beyond algorithmic fairness. When we gave algorithms power over our world, we hoped that the apparent neutrality of machine thinking would create a more egalitarian age. Yet we are more divided than ever, staring down threats to democracy itself. In Data Equals, Colin Koopman argues that data technologies fail us so often because we built them around a deficient notion of equality. It is not enough, Koopman explains, that algorithms engage everyone's data with the same measuring stick. The data themselves are all too often structured in ways that obscure and exacerbate stratifying distinctions. Koopman contends that we must also work to ensure that those people subject to computational assessment enter data systems on equal terms. Part philosophical argument, part practical guide (replete with case studies from education technology), Data Equals offers novel methods for realizing democratic equality in a digital age.
Idioma: Inglés
Publicado por University of Chicago Press, 2025
ISBN 10: 0226842258 ISBN 13: 9780226842257
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Idioma: Inglés
Publicado por The University of Chicago Press, 2025
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Añadir al carritoPaperback. Condición: new. Paperback. An expansive vision for data equality that goes beyond algorithmic fairness. When we gave algorithms power over our world, we hoped that the apparent neutrality of machine thinking would create a more egalitarian age. Yet we are more divided than ever, staring down threats to democracy itself. In Data Equals, Colin Koopman argues that data technologies fail us so often because we built them around a deficient notion of equality. It is not enough, Koopman explains, that algorithms engage everyone's data with the same measuring stick. The data themselves are all too often structured in ways that obscure and exacerbate stratifying distinctions. Koopman contends that we must also work to ensure that those people subject to computational assessment enter data systems on equal terms. Part philosophical argument, part practical guide (replete with case studies from education technology), Data Equals offers novel methods for realizing democratic equality in a digital age. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Idioma: Inglés
Publicado por University Of Chicago Press Sep 2025, 2025
ISBN 10: 0226842258 ISBN 13: 9780226842257
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - 'Much of the political discourse on data revolves around issues of privacy, surveillance, and liberty. But democracy faces an even greater peril: the ways our data technologies reproduce and generate inequalities. In Data Equals, philosopher Colin Koopman develops a robust concept of data equality that we can apply to contemporary data-driven domains to combat data's intensifying inequalities. Our activities from the most mundane to the most monumental are conducted through and transacted within data. Data have become obligatory to who we are. According to Koopman, our immersion in data demands a fuller and wider notion of data equality. Where data technology polarizes and separates us from one another, it undermines our ability to relate as equals in a democracy. Consider, for example, how certain groups are beneficiaries of data systems while other groups are prevented from being loaded onto databases that confirm rights such as the right to legally work or to receive state assistance. Data Equals presents novel methods and concepts for realizing democratic equality in data. Adopting the notion of data equality, and actively applying it to our data technologies, is necessary if democratic citizens are to become one another's data equals'.